Complete Week 2 Product Analytics Content - Launch Monitoring to Qual-Quant Synthesis

[Copilot]

Week 2 placeholder files replaced with comprehensive subject matter expert content covering the critical post-launch phase of product analytics.

Content Added

7 complete modules (3,800+ lines):

• Day 08: Launch Day Command Center - Real-time monitoring dashboards, alert thresholds, sign-off frameworks
• Day 09: Precision Bug Triage - RAPID isolation methodology, severity quantification, professional reporting
• Day 10: Adoption Funnel Analysis - Session-based funnels with sequential validation, hypothesis formulation
• Day 11: "Aha!" Moment Discovery - Cohort analysis, correlation testing, causal inference frameworks
• Day 12: Executive Communication - Pyramid principle memos, Good/Bad/Insights structure, visual communication
• Day 13: Statistical Integrity - Early A/B test readouts, stakeholder pressure management, significance discipline
• Day 14: Quant + Qual Synthesis - NLP categorization, sentiment analysis, integrated narrative building

Key Components

50+ production-ready SQL queries for monitoring, funnels, cohort analysis, and experimentation:

-- Session-based funnel with sequential validation
WITH session_events AS (
    SELECT user_id, session_id, event_name, event_timestamp,
           ROW_NUMBER() OVER (PARTITION BY session_id ORDER BY event_timestamp) AS event_sequence
    FROM events
    WHERE event_name IN ('app_open', 'view_main_feed', 'tap_journals_icon', 'create_journal_entry')
),
step_1_app_open AS (
    SELECT DISTINCT session_id, user_id
    FROM session_events WHERE event_name = 'app_open'
),
-- ... sequential step validation

20+ Python functions for statistics, visualization, and NLP analysis

7 analytical frameworks including RAPID (bug triage), Pyramid Principle (exec comms), Statistical Integrity

Professional templates for memos, triage reports, A/B test readouts, stakeholder communications

Educational Progression

Transforms students from monitoring basics to strategic synthesis:

1. Monitor system health → Diagnose bugs with precision
2. Identify friction points → Discover retention signals
3. Communicate with executives → Maintain statistical discipline
4. Synthesize quant + qual → Drive product decisions

Content reflects real-world product analytics workflows with proper statistical rigor and business communication standards.

Original prompt

review the content, and acting as an expert review, plan, create, refine and update acting as an subhect mater expert in product analytics for week 2

The user has attached the following files from their workspace:

• 30-Day Product Analytics Masterclass.md

[Chronological Review: The conversation began with the user requesting a review of a 30-day syllabus and updates to bash files. The user then asked for a detailed updated layout of the project. Following that, the user attempted to run a script to copy curriculum and reports, which resulted in multiple errors indicating missing files. The user continued to execute commands to run the script, encountering the same errors. The user inquired about the usage of specific folders and requested a full review of the codebase to identify unnecessary files. The conversation progressed with requests to create detailed issues on GitHub, with the user emphasizing the need for extreme detail and to create issues one at a time. Finally, the user requested a review and update of content for week 2, acting as a subject matter expert in product analytics.]

[Intent Mapping:

1. "review the 30 day syllabus and update the bash files accordingly" - User wants to ensure the syllabus is current and reflected in the bash scripts.
2. "create a detailed updated layout of the project" - User seeks an organized structure of the project.
3. "Run chmod +x ./scripts/build_book.sh" - User attempts to execute a script but encounters errors due to missing files.
4. "is the content folder used?" - User is checking the relevance of a specific folder.
5. "to a full review of the code base, and flag and identify files no longer needed." - User wants to clean up the codebase.
6. "create the issues on github, providing extreme details." - User requests detailed issue creation on GitHub.
7. "create the issues one at a time" - User wants to manage issue creation sequentially.
8. "review the content, and acting as an expert review, plan, create, refine and update acting as a subject matter expert in product analytics for week 2" - User seeks to enhance week 2 content with expert insights.]

[Technical Inventory:

• Bash scripts: Used for automating tasks in the project.
• GitHub: Platform for issue tracking and project management.
• File paths: Indicate missing files that are critical for the script execution.]

[Code Archaeology:

• build_book.sh: A script intended to copy curriculum and reports but failed due to missing files.
• Files mentioned in errors: main_curriculum.md, ab_test_analysis.md, qbr_presentation.md, etc., which are essential for the project but currently missing.]

[Progress Assessment:

• Completed Tasks: User has attempted to run the build script and has made inquiries about folder usage.
• Partially Complete Work: User is in the process of reviewing the codebase and planning updates for week 2 content.
• Validated Outcomes: No successful script execution or issue creation has been confirmed yet.]

[Context Validation: All critical information for continuation is captured, including user requests for reviews, updates, and issue creation.]

[Recent Commands Analysis:

• Last Agent Commands:
  1. chmod +x ./scripts/build_book.sh
  2. ./scripts/build_book.sh
• Tool Results Summary: The script execution failed with multiple "cannot stat" errors indicating that several files could not be found, leading to an exit code of 1.
• Pre-Summary State: The agent was actively trying to execute the build script and address the missing files when the token budget was exceeded.
• Operation Context: The user aimed to run the script to copy necessary files for the project, which is critical for the overall project structure and content delivery.]

1. Conversation Overview: - Primary Objectives: - "review the 30 day syllabus and update the bash files accordingly" - "create a detailed updated layout of the project" - "Run chmod +x ./scripts/build_book.sh" - "is the content folder used?" - "to a full review of the code base, and flag and identify files no longer needed." - "create the issues on github, providing extreme details." - "create the issues one at a time" - "review the content, and acting as an expert review, plan, create, refine and update acting as a subject matter expert in product analytics for week 2" - Session Context: The conversation has focused on reviewing and updating project files, executing scripts, and managing project issues on GitHub. - User Intent Evolution: The user has shifted from executing scripts and checking folder usage to a more strategic approach of reviewing and refining content as a subject matter expert.

2. Technical Foundation:

• Bash Scripts: Used for automating tasks related to project management.
• GitHub: Platform for tracking issues and managing project tasks.

3. Codebase Status:

• File Name: build_book.sh
  • Purpose: Automate the copying of curriculum and reports.
  • Current St...

Created from VS Code via the GitHub Pull Request extension.

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